Putting a Price Tag on Personal Information - A Literature Review

In the digital age, personal information is claimed to be the new commodity with a rising market demand and profitability for businesses. Simultaneously, people are becoming aware of the value of their personal information while being concerned about their privacy. This increases the demand of direct compensation or protection. In response to the commodification of privacy and the increased demand for compensation, a number of scholars have shed light on the value people assign to their personal information. However, these findings remain controversial as their results differ tremendously due to different research methods and contexts. To address this gap, we conducted a systematic literature review to gain insights into the current research state and to identify further research avenues. By synthesizing and analyzing 37 publications, we provide an integrative framework along with seven contextual factors affecting individuals’ valuation of privacy

Price Adjustment at Multiproduct Retailers

We empirically study the price adjustment process at multiproduct retail stores. We use a unique store level data set for five large supermarket and one drugstore chains in the U.S., to document the exact process required to change prices. Our data set allows us to study this process in great detail, describing the exact procedure, stages, and steps undertaken during the price change process. We also discuss various aspects of the microeconomic environment in which the price adjustment decisions are made, factors affecting the price adjustment decisions, and firm-level implications of price adjustment decisions. Specifically, we examine the effects of the complexity of the price change process on the stores’ pricing strategy. We also study how the steps involved in the price change process, combined with the laws governing the retail price setting and adjustment, along with the competitive market structure of the retail grocery industry, influence the frequency of price changes. We also examine how the mistakes that occur in the price change process influence the actions taken by these multiproduct retailers. In particular, we study how these mistakes can make the stores vulnerable to civil law suits and penalties, and also damage their reputation. We also show how the mistakes can lead to stock outs or unwanted inventory accumulations. Finally, we discuss how retail stores try to minimize these negative effects of the price change mistakes.Cost of Price Adjustment, Price Adjustment Process, Menu Cost, Posted Prices, Multiproduct Retailer, Price rigidity, Sticky Prices, Frequency of Price Changes, Time Dependent Pricing, Retail Supermarket and Drugstore Chains

Sticks and Carrots

The tax-payer-as-gambler (TAG) model of tax non-compliance is the classic vehicle for providing some simple insights. Under fairly general conditions this model supports the following four propositions: (1) if the rate of return to evasion is positive everyone evades tax; (2) people with higher risk-aversion tend to evade less; (3) people with higher personal income tend to evade more; (4) increasing any of the standard tax-enforcement parameters (the probability of audit, the proportional surcharge on evaded tax and the tax rate) will reduce the amount of concealed income. Not all of these TAG model predictions seem intuitively reasonable, nor are they all borne out by empirical evidence.There are three principal intellectual routes for a more satisfactory approach:(a)A re-examination of the underlying model of taxpayer motivation. This encompasses relaxation of the expected-utility assumption, introduction of time into the modeling framework and an extension of the range of arguments of the utility function.(b)A revision of the model of interaction between the taxpayer and the tax authority. This allows the introduction of an explicit strategic interaction encapsulated in the auditing relationship. Neither the models with precommitment or those without precommitment fully capture the relevant features of the noncompliance problem. Both neglect the problem of "ghosts".(c)The role of the modeling of firms. This route is relatively neglected in the theoretical and empirical literature. An elementary treatment of the problem suggests that it has potential as an exploratory tool and as a guide to policy makers.Compliance, tax evasion, risk-taking, enforcement.

Technology as tool to overcome barriers of using fitness facilities: A health behavioural perspective

Underlying health conditions have been highlighted throughout the literature preventing several populations from engaging in physical activity. There have been little to no attempts made in addressing these populations directly in fitness facilities or indirectly using information technology (IT). The current research aimed at exploring current barriers and practices regarding IT and technological support in a fitness facility environment, using health behaviour theories (HBT) to explain member experiences. The sample was composed of 66 participants selected from 5 fitness facilities in Manchester, UK, of which there were 60.6% males and 39.4% females aged from 18-59. The instrument used was a survey. Health motives were reported by 71.2% of the participants, while ‘injury’ (reported by 70.2%), ‘lack of knowledge about exercise and health’ (reported by 42.4%), and ‘illness’ (reported by 28.1%) as main barriers to use the facilities. The main support mechanisms provided by the facilities management were staff support (59%), with online and technological support only accounting for 38.6% of facility support. The use of personal IT within the facilities were utilised by over half the participants (50.2%). The study revealed the need of additional IT support by fitness facilities in the form of applications and digital platforms. The findings are discussed with HBT as the theoretical underpinnings and suggestions are made for future research regarding IT advancements as support mechanisms

Socializing the Semantic Gap: A Comparative Survey on Image Tag Assignment, Refinement and Retrieval

Where previous reviews on content-based image retrieval emphasize on what can be seen in an image to bridge the semantic gap, this survey considers what people tag about an image. A comprehensive treatise of three closely linked problems, i.e., image tag assignment, refinement, and tag-based image retrieval is presented. While existing works vary in terms of their targeted tasks and methodology, they rely on the key functionality of tag relevance, i.e. estimating the relevance of a specific tag with respect to the visual content of a given image and its social context. By analyzing what information a specific method exploits to construct its tag relevance function and how such information is exploited, this paper introduces a taxonomy to structure the growing literature, understand the ingredients of the main works, clarify their connections and difference, and recognize their merits and limitations. For a head-to-head comparison between the state-of-the-art, a new experimental protocol is presented, with training sets containing 10k, 100k and 1m images and an evaluation on three test sets, contributed by various research groups. Eleven representative works are implemented and evaluated. Putting all this together, the survey aims to provide an overview of the past and foster progress for the near future.Comment: to appear in ACM Computing Survey

When Little Things Mean a Lot: On the Inefficiency of Item Pricing Laws

We study item-pricing laws (which require that each item in a store be individually marked with a price sticker) and examine and quantify their costs and benefits. On the cost side, we argue that item-pricing laws increase the retailers’ costs, forcing them to raise prices. We test this prediction using data on retail prices from large supermarket chains in the Tri-State area of New York, New Jersey and Connecticut. The Tri-States offer a unique setting—a natural experiment—to study item-pricing laws because the States vary in their use of item-pricing laws, but otherwise offer similar markets and chains operating in a close proximity to each other in a relatively homogenous socioeconomic environment. We use two datasets, one emphasizing the breadth in coverage across products and the other across stores. We find consistent evidence across products, product categories, stores, chains, states, and sampling periods, that the prices at stores facing item-pricing laws are higher than the prices at stores not facing the item pricing laws by about 25¢ or 9.6% per item. We also have data from supermarket chains that would be subject to item-pricing laws but are exempted from item pricing requirement because they use costly electronic shelf label systems. Using this data as a control, we find that the electronic shelf label store prices fall between the item-pricing law and non-item- pricing law store prices: they are lower than the item-pricing law store prices by about 15¢ per item on average, but are higher than the non- item-pricing law store prices by about 10¢ per item on average. On the benefit side, we study the frequency and the magnitude of supermarket pricing errors, which the item-pricing laws are supposed to prevent. We quantify the benefits of the IPLs by conservatively assuming that they successfully accomplish their mission of preventing all price mistakes. Comparing the costs of item-pricing laws to their benefits, we find that the item-pricing law costs are at least an order of magnitude higher than the benefits.Item Pricing Laws, Costs of Item Pricing Laws, Benefits of Item Pricing Laws, Cost of Price Adjustment, Pricing Accuracy, Electronic Shelf Label System, Pricing Regulation, Cost of Pricing, Supermarket Chains

Financing asset growth : [version 11 august 2013]

In this paper we provide new evidence that corporate financing decisions are associated with managerial incentives to report high equity earnings. Managers rely most heavily on debt to finance their asset growth when their future earnings prospects are poor, when they are under pressure due to past declines in earnings, negative past stock returns, and excessively optimistic analyst earnings forecasts, and when the earnings yield is high relative to bond yields so that from an accounting perspective equity is ‘expensive’. Managers of high debt issuing firms are more likely to be newly appointed and also more likely to be replaced in subsequent years. Abnormal returns on portfolios formed on the basis of asset growth and debt issuance are strongly positively associated with the contemporaneous changes in returns on assets and on equity as well as with earnings surprises. This may account for the finding that debt issuance forecasts negative abnormal returns, since debt issuance also forecasts negative changes in returns on assets and on equity and negative earnings surprises. Different mechanisms appear to be at work for firms that retire debt

Tangible user interfaces : past, present and future directions

In the last two decades, Tangible User Interfaces (TUIs) have emerged as a new interface type that interlinks the digital and physical worlds. Drawing upon users' knowledge and skills of interaction with the real non-digital world, TUIs show a potential to enhance the way in which people interact with and leverage digital information. However, TUI research is still in its infancy and extensive research is required in or- der to fully understand the implications of tangible user interfaces, to develop technologies that further bridge the digital and the physical, and to guide TUI design with empirical knowledge. This paper examines the existing body of work on Tangible User In- terfaces. We start by sketching the history of tangible user interfaces, examining the intellectual origins of this field. We then present TUIs in a broader context, survey application domains, and review frame- works and taxonomies. We also discuss conceptual foundations of TUIs including perspectives from cognitive sciences, phycology, and philoso- phy. Methods and technologies for designing, building, and evaluating TUIs are also addressed. Finally, we discuss the strengths and limita- tions of TUIs and chart directions for future research

The future design direction of smart clothing development

Literature indicates that Smart Clothing applications, the next generation of clothing and electronic products, have been struggling to enter the mass market because the consumers’ latent needs have not been recognised. Moreover, the design direction of Smart Clothes remains unclear and unfocused. Nevertheless, a clear design direction is necessary for all product development. Therefore, this research aims to identify the design directions of the emerging Smart Clothes industry by conducting a questionnaire survey and focus groups with its major design contributors. The results reveal that the current strategy of embedding a wide range of electronic functions in a garment is not suitable. This is primarily because it does not match the users’ requirements, purchasing criteria and lifestyle. The results highlight the respondents’ preference for personal healthcare and sportswear applications that suit their lifestyle, are aesthetically attractive, and provide a practical function